Data, not vibes.
Helping workers navigate the AI revolution with data-driven career and business ownership insights — sourced from official statistics, not speculation.
Our mission
The world of work is changing faster than ever. AI and automation are transforming industries, eliminating some jobs while creating others. In this landscape, making informed career decisions has never been more important — or more difficult.
StableJobs was founded by Daniel to cut through the noise. We provide clear, data-driven analysis of which careers are most resistant to automation, helping both individuals planning their futures and aspiring owners deciding which industry to start a business in.
Our goal isn't to predict the future — it's to give you the information you need to make better decisions today, based on the best available research and data.
Who we are
StableJobs was founded by Daniel with a simple goal: make it easier for people to find careers that will remain valuable in an increasingly automated world. After seeing too many career advice sites offering vague suggestions without real data, we set out to build something better.
Every piece of data on this site is sourced from official government statistics and peer-reviewed research. We don't speculate or guess — we analyze the facts and present them clearly.
What we provide
Automation Risk Scores
Every career in our database has a 0-100 score measuring resistance to AI and robotic automation, based on academic research and labor market analysis.
Industry Ownership Scores
For aspiring business owners, we rate industries on growth potential, owner margin potential, barriers to entry, and automation resilience.
Salary & Demand Data
Real salary ranges and demand levels across multiple countries, sourced from official government statistics and industry surveys.
Training Pathways
Clear information on how to enter each career — training time, certifications, apprenticeships, and licensing requirements.
Our research approach
We don't guess or speculate. Our automation risk assessments are built on a foundation of peer-reviewed academic research, including the influential Oxford study "The Future of Employment" by Frey & Osborne, MIT's Work of the Future research, and McKinsey Global Institute analyses.
Salary and employment data comes from official sources: the U.S. Bureau of Labor Statistics, O*NET, UK Office for National Statistics, and equivalent agencies in other countries. Full methodology, including where each signal misleads, is on our methodology page.
Read our full methodology →Our data sources
- ✓O*NET (U.S. Department of Labor)
- ✓Bureau of Labor Statistics
- ✓Oxford Martin School Research
- ✓UK Office for National Statistics
Start exploring
Browse our database of 177 AI-proof careers and 16 industries to find your path forward.